Evidence mapPaperPMID 42470586Full record

ArticleEuropean journal of epidemiology2026

Global disparities in realized stroke prevention attributable to antihypertensive treatment: a population-level analysis of 198 countries, 1990-2019.

Gonghua Wu, Huan Xu, Jialong Wu, Jiawei Li, Minghong Yao, Xiao Lin, Ye Zhu, Chuanhua Yu, Juying Zhang, Xiong Xiao and 1 more

Abstract read
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In one paragraph

Article in European journal of epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Clarifying statistical methods in a TriNetX analysis of statins and osteoporosis in CKD patients.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Gonghua Wu *West China School of Public Health and West China Fourth Hospital, Sichuan University, No. 16, Section 3, Renmin South Rd, Chengdu, 610041, Sichuan, China.
Huan Xu *West China School of Public Health and West China Fourth Hospital, Sichuan University, No. 16, Section 3, Renmin South Rd, Chengdu, 610041, Sichuan, China.
Jialong WuWest China School of Public Health and West China Fourth Hospital, Sichuan University, No. 16, Section 3, Renmin South Rd, Chengdu, 610041, Sichuan, China.
Jiawei LiWest China School of Public Health and West China Fourth Hospital, Sichuan University, No. 16, Section 3, Renmin South Rd, Chengdu, 610041, Sichuan, China.
Minghong YaoDepartment of Neurosurgery and Chinese Evidence-Based Medicine Center and Cochrane China Center and MAGIC China Center, West China Hospital, Sichuan University, Chengdu, 610041, China.
Xiao LinDepartment of Medical Statistics, School of Public Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, 510080, China.
Ye ZhuDepartment of Cardiology, West China Hospital, Sichuan University, Chengdu, 610041, China.
Chuanhua YuDepartment of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, Wuhan, 430071, China.
Juying ZhangWest China School of Public Health and West China Fourth Hospital, Sichuan University, No. 16, Section 3, Renmin South Rd, Chengdu, 610041, Sichuan, China.
Xiong XiaoWest China School of Public Health and West China Fourth Hospital, Sichuan University, No. 16, Section 3, Renmin South Rd, Chengdu, 610041, Sichuan, China.
Xing ZhaoWest China School of Public Health and West China Fourth Hospital, Sichuan University, No. 16, Section 3, Renmin South Rd, Chengdu, 610041, Sichuan, China. xingzhao@scu.edu.cn.

Funding

National Natural Science Foundation of China 81973151National Natural Science Foundation of China 82504519National Natural Science Foundation of China 82504521Natural Science Foundation of Sichuan Province 2025ZNSFSC1784Postdoctoral Fellowship Program of CPSF GZB20250191
6 · The paper itself

Abstract

Although antihypertensive treatment reduces stroke risk, it remains unclear whether advances in hypertension management have translated into equitable stroke prevention at the population level. We quantified realized stroke prevention attributable to antihypertensive treatment in adults aged 30-79 years across 198 countries from 1990 to 2019. In this population-level modelling analysis, we integrated country-, sex-, age-, and year-specific estimates of hypertension prevalence and treatment coverage with stroke incidence data to derive the prevented fraction for the population (PFP), defined as the proportion of strokes averted under observed treatment patterns relative to a no-treatment counterfactual. We compared PFP across sex, age, and World Bank income groups and summarized temporal trends using average annual percentage change and age-period-cohort analyses. From 1990 to 2019, median PFP increased globally from 8.8% (interquartile range, 4.9-11.1) to 15.9% (10.8-19.5) in women and from 5.1% (2.7-6.5) to 11.8% (7.7-15.3) in men, corresponding to an estimated 0.96 million model-estimated strokes averted in 2019. Although low-income countries showed the fastest annual increases, their 2019 PFP remained about half that of high-income countries. Women consistently had higher PFP than men. PFP remained low in older adults and was similarly low, or lower, in adults aged 30-34 years. These findings indicate that antihypertensive treatment has corresponded to substantial but uneven model-estimated stroke prevention worldwide, with persistent disparities by national income, sex, and age group.

Indexed as

Health disparitiesHypertensionPrevented fraction for the populationStroke prevention

Identifiers

What Socratic holds

Textmetadata
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.